rasahq--rasa/.github/workflows/ci-model-regression-on-schedule.yml

# The docs: https://www.notion.so/rasa/The-CI-for-model-regression-tests-92af7185e08e4fb2a0c764770a8e9095
name: CI - Model Regression on schedule

on:
  schedule:
    # Run once a week
    - cron: "1 23 * * */7"

env:
  GKE_ZONE: us-central1
  GCLOUD_VERSION: "318.0.0"
  TF_FORCE_GPU_ALLOW_GROWTH: true
  GITHUB_ISSUE_LABELS: '["type:bug :bug:", "tool:model-regression-tests"]'
  PERFORMANCE_DROP_THRESHOLD: -0.05
  NVML_INTERVAL_IN_SEC: 1

jobs:
  read_test_configuration:
    name: Reads tests configuration
    runs-on: ubuntu-24.04
    outputs:
      matrix: ${{ steps.set-matrix.outputs.matrix }}
      matrix_length: ${{ steps.set-matrix.outputs.matrix_length }}
    steps:
      - name: Checkout main
        uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c

      - name: Checkout dataset
        uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c
        with:
          repository: ${{ secrets.DATASET_REPOSITORY }}
          token: ${{ secrets.ML_TEST_SA_PAT }}
          path: "dataset"
          ref: "main"

      - name: Download gomplate
        run: |-
          sudo curl -o /usr/local/bin/gomplate -sSL https://github.com/hairyhenderson/gomplate/releases/download/v3.9.0/gomplate_linux-amd64
          sudo chmod +x /usr/local/bin/gomplate

      - name: Check if a configuration file exists
        run: test -f .github/configs/mr-test-schedule.json

      - name: Set matrix values
        id: set-matrix
        shell: bash
        run: |-
          matrix=$(gomplate -d mapping=./dataset/dataset_config_mapping.json -d github=.github/configs/mr-test-schedule.json -f .github/templates/model_regression_test_config_to_json.tmpl)
          matrix_length=$(echo $matrix | jq '.[] | length')
          echo "matrix_length=$matrix_length" >> $GITHUB_OUTPUT
          echo "matrix=$matrix" >> $GITHUB_OUTPUT

  deploy_runner_gpu:
    name: Deploy Github Runner - GPU
    needs: read_test_configuration
    runs-on: ubuntu-24.04

    steps:
      - name: Checkout
        uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c

      - name: Setup Python
        id: python
        uses: actions/setup-python@57ded4d7d5e986d7296eab16560982c6dd7c923b
        with:
          python-version: '3.8' 

      - name: Export CLOUDSDK_PYTHON env variable
        run: |
          echo "CLOUDSDK_PYTHON=${{ steps.python.outputs.python-path }}" >> $GITHUB_OUTPUT
          export CLOUDSDK_PYTHON=${{ steps.python.outputs.python-path }}

      - name: Download gomplate
        run: |-
          curl -o gomplate -sSL https://github.com/hairyhenderson/gomplate/releases/download/v3.9.0/gomplate_linux-amd64
          chmod 755 gomplate

      - name: Get TensorFlow version
        run: |-
          # Read TF version from poetry.lock file
          pip install toml
          TF_VERSION=$(scripts/read_tensorflow_version.sh)
          echo "TensorFlow version: $TF_VERSION"
          echo TF_VERSION=$TF_VERSION >> $GITHUB_ENV

        # Use compatible CUDA/cuDNN with the given TF version
      - name: Prepare GitHub runner image tag
        run: |-
          GH_RUNNER_IMAGE_TAG=$(jq -r 'if (.config | any(.TF == "${{ env.TF_VERSION }}" )) then (.config[] | select(.TF == "${{ env.TF_VERSION }}") | .IMAGE_TAG) else .default_image_tag end' .github/configs/tf-cuda.json)
          echo "GitHub runner image tag for TensorFlow ${{ env.TF_VERSION }} is ${GH_RUNNER_IMAGE_TAG}"
          echo GH_RUNNER_IMAGE_TAG=$GH_RUNNER_IMAGE_TAG >> $GITHUB_ENV

          num_max_replicas=3
          matrix_length=${{ needs.read_test_configuration.outputs.matrix_length }}
          if [[ $matrix_length -gt $num_max_replicas ]]; then
            NUM_REPLICAS=$num_max_replicas
          else
            NUM_REPLICAS=$matrix_length
          fi
          echo NUM_REPLICAS=$NUM_REPLICAS >> $GITHUB_ENV

      - name: Send warning if the current TF version does not have CUDA image tags configured
        if: env.GH_RUNNER_IMAGE_TAG == 'latest'
        env:
          TF_CUDA_FILE: ./github/config/tf-cuda.json
        run: |-
          echo "::warning file=${TF_CUDA_FILE},line=3,col=1,endColumn=3::Missing cuda config for tf ${{ env.TF_VERSION }}. If you are not sure how to config CUDA, please reach out to infrastructure."

      - name: Notify slack on tf-cuda config updates
        if: env.GH_RUNNER_IMAGE_TAG == 'latest'
        env:
          SLACK_BOT_TOKEN: ${{ secrets.SLACK_BOT_TOKEN }}
        uses: voxmedia/github-action-slack-notify-build@3665186a8c1a022b28a1dbe0954e73aa9081ea9e
        with:
          channel_id: ${{ secrets.SLACK_ALERTS_CHANNEL_ID }}
          status: WARNING
          color: warning

      - name: Render deployment template
        run: |-
          export GH_RUNNER_IMAGE_TAG=${{ env.GH_RUNNER_IMAGE_TAG }}
          export GH_RUNNER_IMAGE=${{ secrets.GH_RUNNER_IMAGE }}
          ./gomplate -f .github/runner/github-runner-deployment.yaml.tmpl -o runner_deployment.yaml

      # Setup gcloud auth
      - uses: google-github-actions/auth@e8df18b60c5dd38ba618c121b779307266153fbf
        with:
          service_account: ${{ secrets.GKE_RASA_CI_GPU_SA_NAME_RASA_CI_CD }}
          credentials_json: ${{ secrets.GKE_SA_RASA_CI_CD_GPU_RASA_CI_CD }}

      # Get the GKE credentials for the cluster
      - name: Get GKE Cluster Credentials
        uses: google-github-actions/get-gke-credentials@894c221960ab1bc16a69902f29f090638cca753f
        with:
          cluster_name: ${{ secrets.GKE_GPU_CLUSTER_RASA_CI_CD }}
          location: ${{ env.GKE_ZONE }}
          project_id: ${{ secrets.GKE_SA_RASA_CI_GPU_PROJECT_RASA_CI_CD }}

      - name: Deploy Github Runner
        run: |-
          kubectl apply -f runner_deployment.yaml
          kubectl -n github-runner rollout status --timeout=15m deployment/github-runner-$GITHUB_RUN_ID

      - name: Notify slack on failure
        if: failure()
        env:
          SLACK_BOT_TOKEN: ${{ secrets.SLACK_BOT_TOKEN }}
        uses: voxmedia/github-action-slack-notify-build@3665186a8c1a022b28a1dbe0954e73aa9081ea9e
        with:
          channel_id: ${{ secrets.SLACK_ALERTS_CHANNEL_ID }}
          status: FAILED
          color: danger

  model_regression_test_gpu:
    name: Model Regression Tests - GPU
    continue-on-error: true
    needs:
      - deploy_runner_gpu
      - read_test_configuration
    env:
      # Determine where CUDA and Nvidia libraries are located. TensorFlow looks for libraries in the given paths
      LD_LIBRARY_PATH: "/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64"
      ACCELERATOR_TYPE: "GPU"
      GITHUB_ISSUE_TITLE: "Scheduled Model Regression Test Failed"
    runs-on: [self-hosted, gpu, "${{ github.run_id }}"]
    strategy:
      # max-parallel: By default, GitHub will maximize the number of jobs run in parallel depending on the available runners on GitHub-hosted virtual machines.
      matrix: ${{fromJson(needs.read_test_configuration.outputs.matrix)}}

    steps:
      - name: Checkout
        uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c

      - name: Checkout dataset
        uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c
        with:
          repository: ${{ secrets.DATASET_REPOSITORY }}
          token: ${{ secrets.ML_TEST_SA_PAT }}
          path: "dataset"
          ref: "main"

      - name: Set env variables
        id: set_dataset_config_vars
        env:
          DATASET_NAME: "${{ matrix.dataset }}"
          CONFIG_NAME: "${{ matrix.config }}"
        run: |-
          # determine extra environment variables
          # - CONFIG
          # - DATASET
          # - IS_EXTERNAL
          # - EXTERNAL_DATASET_REPOSITORY_BRANCH
          # - TRAIN_DIR
          # - TEST_DIR
          # - DOMAIN_FILE
          source <(gomplate -d mapping=./dataset/dataset_config_mapping.json -f .github/templates/configuration_variables.tmpl)

          # Not all configurations are available for all datasets.
          # The job will fail and the workflow continues, if the configuration file doesn't exist
          # for a given dataset

          echo "is_dataset_exists=true" >> $GITHUB_OUTPUT
          echo "is_config_exists=true" >> $GITHUB_OUTPUT
          echo "is_external=${IS_EXTERNAL}" >> $GITHUB_OUTPUT

          if [[ "${IS_EXTERNAL}" == "true" ]]; then
            echo "DATASET_DIR=dataset_external" >> $GITHUB_ENV
          else
            echo "DATASET_DIR=dataset" >> $GITHUB_ENV
            test -d dataset/$DATASET || (echo "::warning::The ${{ matrix.dataset }} dataset doesn't exist. Skipping the job." \
              && echo "is_config_exists=false" >> $GITHUB_OUTPUT && exit 0)
          fi

          # Skip job if dataset is Hermit and config is BERT + DIET(seq) + ResponseSelector(t2t) or Sparse + BERT + DIET(seq) + ResponseSelector(t2t)
          if [[ "${{ matrix.dataset }}" == "Hermit" && "${{ matrix.config }}" =~ "BERT + DIET(seq) + ResponseSelector(t2t)" ]]; then
            echo "::warning::This ${{ matrix.dataset }} dataset / ${{ matrix.config }} config is currently being skipped due to OOM associated with the upgrade to TF 2.6." \
              && echo "is_config_exists=false" >> $GITHUB_OUTPUT && exit 0
          fi

          # Skip job if a given type is not available for a given dataset
          if [[ -z "${DOMAIN_FILE}" && "${{ matrix.type }}" == "core" ]]; then
            echo "::warning::The ${{ matrix.dataset }} dataset doesn't include core type. Skipping the job." \
              && echo "is_config_exists=false" >> $GITHUB_OUTPUT && exit 0
          fi

          test -f dataset/configs/$CONFIG || (echo "::warning::The ${{ matrix.config }} configuration file doesn't exist. Skipping the job." \
              && echo "is_dataset_exists=false" >> $GITHUB_OUTPUT && exit 0)

          echo "DATASET=${DATASET}" >> $GITHUB_ENV
          echo "CONFIG=${CONFIG}" >> $GITHUB_ENV
          echo "DOMAIN_FILE=${DOMAIN_FILE}" >> $GITHUB_ENV
          echo "EXTERNAL_DATASET_REPOSITORY_BRANCH=${EXTERNAL_DATASET_REPOSITORY_BRANCH}" >> $GITHUB_ENV
          echo "IS_EXTERNAL=${IS_EXTERNAL}" >> $GITHUB_ENV

          if [[ -z "${TRAIN_DIR}" ]]; then
            echo "TRAIN_DIR=train" >> $GITHUB_ENV
          else
            echo "TRAIN_DIR=${TRAIN_DIR}" >> $GITHUB_ENV
          fi

          if [[ -z "${TEST_DIR}" ]]; then
            echo "TEST_DIR=test" >> $GITHUB_ENV
          else
            echo "TEST_DIR=${TEST_DIR}" >> $GITHUB_ENV
          fi

          HOST_NAME=`hostname`
          echo "HOST_NAME=${HOST_NAME}" >> $GITHUB_ENV

      - name: Checkout dataset - external
        uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c
        if: steps.set_dataset_config_vars.outputs.is_external == 'true'
        with:
          repository: ${{ env.DATASET }}
          token: ${{ secrets.ML_TEST_SA_PAT }}
          path: "dataset_external"
          ref: ${{ env.EXTERNAL_DATASET_REPOSITORY_BRANCH }}

      - name: Set dataset commit
        id: set-dataset-commit
        working-directory: ${{ env.DATASET_DIR }}
        run: |
          DATASET_COMMIT=$(git rev-parse HEAD)
          echo $DATASET_COMMIT
          echo "dataset_commit=$DATASET_COMMIT" >> $GITHUB_OUTPUT

      - name: Start Datadog Agent
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        env:
          DATASET_NAME: "${{ matrix.dataset }}"
          CONFIG: "${{ matrix.config }}"
          DATASET_COMMIT: "${{ steps.set-dataset-commit.outputs.dataset_commit }}"
          BRANCH: ${{ github.ref }}
          GITHUB_SHA: "${{ github.sha }}"
          TYPE: "${{ matrix.type }}"
          DATASET_REPOSITORY_BRANCH: "main"
          INDEX_REPETITION: "${{ matrix.index_repetition }}"
        run: |
          .github/scripts/start_dd_agent.sh "${{ secrets.DD_API_KEY }}" "${{ env.ACCELERATOR_TYPE }}" ${{ env.NVML_INTERVAL_IN_SEC }}

      - name: Set up Python 3.10 🐍
        uses: actions/setup-python@57ded4d7d5e986d7296eab16560982c6dd7c923b
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        with:
          python-version: '3.10'

      - name: Read Poetry Version 🔢
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        run: |
          echo "POETRY_VERSION=$(scripts/poetry-version.sh)" >> $GITHUB_ENV
        shell: bash

      - name: Install poetry 🦄
        uses: Gr1N/setup-poetry@15821dc8a61bc630db542ae4baf6a7c19a994844 # v8
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        with:
          poetry-version: ${{ env.POETRY_VERSION }}

      - name: Load Poetry Cached Libraries ⬇
        uses: actions/cache@5a3ec84eff668545956fd18022155c47e93e2684 # v4.2.3
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        with:
          path: ~/.cache/pypoetry/virtualenvs
          key: ${{ runner.os }}-poetry-${{ env.POETRY_VERSION }}-3.9-${{ hashFiles('**/poetry.lock') }}-${{ secrets.POETRY_CACHE_VERSION }}

      - name: Install Dependencies 📦
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        run: |
          make install-full
          poetry run python -m spacy download de_core_news_md

      - name: Install datadog-api-client
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        run: poetry run pip install -U datadog-api-client

      - name: Validate that GPUs are working
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        run: |-
          poetry run python .github/scripts/validate_gpus.py

      - name: Download pretrained models 💪
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        run: |-
          poetry run python .github/scripts/download_pretrained.py --config dataset/configs/${CONFIG}

      - name: Run test
        id: run_test
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        env:
          TFHUB_CACHE_DIR: ~/.tfhub_cache/
          OMP_NUM_THREADS: 1
        run: |-
          poetry run rasa --version

          export NOW_TRAIN=$(gomplate -i '{{ (time.Now).Format time.RFC3339}}');
          cd ${{ github.workspace }}

          if [[ "${{ steps.set_dataset_config_vars.outputs.is_external }}" == "true" ]]; then
            export DATASET=.
          fi

          if [[ "${{ matrix.type }}" == "nlu" ]]; then
            poetry run rasa train nlu --quiet -u "${DATASET_DIR}/${DATASET}/${TRAIN_DIR}" -c "dataset/configs/${CONFIG}" --out "${DATASET_DIR}/models/${DATASET}/${CONFIG}"
            echo "train_run_time=$(gomplate -i '{{ $t := time.Parse time.RFC3339 (getenv "NOW_TRAIN") }}{{ (time.Since $t).Round (time.Second 1) }}')" >> $GITHUB_OUTPUT

            export NOW_TEST=$(gomplate -i '{{ (time.Now).Format time.RFC3339}}');
            poetry run rasa test nlu --quiet -u "${DATASET_DIR}/$DATASET/${TEST_DIR}" -m "${DATASET_DIR}/models/$DATASET/$CONFIG" --out "${{ github.workspace }}/results/$DATASET/$CONFIG"

            echo "test_run_time=$(gomplate -i '{{ $t := time.Parse time.RFC3339 (getenv "NOW_TEST") }}{{ (time.Since $t).Round (time.Second 1) }}')" >> $GITHUB_OUTPUT
            echo "total_run_time=$(gomplate -i '{{ $t := time.Parse time.RFC3339 (getenv "NOW_TRAIN") }}{{ (time.Since $t).Round (time.Second 1) }}')" >> $GITHUB_OUTPUT

          elif [[ "${{ matrix.type }}" == "core" ]]; then
            poetry run rasa train core --quiet -s ${DATASET_DIR}/$DATASET/$TRAIN_DIR -c dataset/configs/$CONFIG -d ${DATASET_DIR}/${DATASET}/${DOMAIN_FILE}
            echo "train_run_time=$(gomplate -i '{{ $t := time.Parse time.RFC3339 (getenv "NOW_TRAIN") }}{{ (time.Since $t).Round (time.Second 1) }}')" >> $GITHUB_OUTPUT

            export NOW_TEST=$(gomplate -i '{{ (time.Now).Format time.RFC3339}}');
            poetry run rasa test core -s "${DATASET_DIR}/${DATASET}/${TEST_DIR}" --out "${{ github.workspace }}/results/${{ matrix.dataset }}/${{ matrix.config }}"

            echo "test_run_time=$(gomplate -i '{{ $t := time.Parse time.RFC3339 (getenv "NOW_TEST") }}{{ (time.Since $t).Round (time.Second 1) }}')" >> $GITHUB_OUTPUT
            echo "total_run_time=$(gomplate -i '{{ $t := time.Parse time.RFC3339 (getenv "NOW_TRAIN") }}{{ (time.Since $t).Round (time.Second 1) }}')" >> $GITHUB_OUTPUT
          fi

      - name: Generate a JSON file with a report / Publish results to Datadog
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        env:
          SUMMARY_FILE: "./report.json"
          DATASET_NAME: ${{ matrix.dataset }}
          RESULT_DIR: "${{ github.workspace }}/results"
          CONFIG: ${{ matrix.config }}
          TEST_RUN_TIME: ${{ steps.run_test.outputs.test_run_time }}
          TRAIN_RUN_TIME: ${{ steps.run_test.outputs.train_run_time }}
          TOTAL_RUN_TIME: ${{ steps.run_test.outputs.total_run_time }}
          DATASET_REPOSITORY_BRANCH: "main"
          TYPE: ${{ matrix.type }}
          INDEX_REPETITION: ${{ matrix.index_repetition }}
          DATASET_COMMIT: ${{ steps.set-dataset-commit.outputs.dataset_commit }}
          BRANCH: ${{ github.ref }}
          PR_ID: "${{ github.event.number }}"
          PR_URL: ""
          DD_APP_KEY: ${{ secrets.DD_APP_KEY_PERF_TEST }}
          DD_API_KEY: ${{ secrets.DD_API_KEY }}
          DD_SITE: datadoghq.eu
        run: |-
          poetry run pip install analytics-python
          poetry run python .github/scripts/mr_publish_results.py
          cat $SUMMARY_FILE

      - name: Upload an artifact with the report
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        uses: actions/upload-artifact@0b7f8abb1508181956e8e162db84b466c27e18ce
        with:
          name: report-${{ matrix.dataset }}-${{ matrix.config }}-${{ matrix.index_repetition }}
          path: report.json

      # Prepare diagnostic data for the configs which evaluate dialog policy performance
      - name: Prepare diagnostic data
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true' && matrix.type == 'core'
        run: |
          # Create dummy files to preserve directory structure when uploading artifacts
          # See: https://github.com/actions/upload-artifact/issues/174
          touch "results/${{ matrix.dataset }}/.keep"
          touch "results/${{ matrix.dataset }}/${{ matrix.config }}/.keep"

      - name: Upload an artifact with diagnostic data
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true' && matrix.type == 'core'
        uses: actions/upload-artifact@0b7f8abb1508181956e8e162db84b466c27e18ce
        with:
          name: diagnostic_data
          path: |
            results/**/.keep
            results/${{ matrix.dataset }}/${{ matrix.config }}/failed_test_stories.yml
            results/${{ matrix.dataset }}/${{ matrix.config }}/story_confusion_matrix.png

      - name: Stop Datadog Agent
        if: steps.set_dataset_config_vars.outputs.is_dataset_exists == 'true' && steps.set_dataset_config_vars.outputs.is_config_exists == 'true'
        run: |
          sudo service datadog-agent stop

      - name: Check duplicate issue
        if: failure() && github.event_name == 'schedule'
        uses: actions/github-script@d7906e4ad0b1822421a7e6a35d5ca353c962f410
        id: issue-exists
        with:
          result-encoding: string
          github-token: ${{ github.token }}
          script: |
            // Get all open issues
            const opts = await github.issues.listForRepo.endpoint.merge({
              owner: context.repo.owner,
              repo: context.repo.repo,
              state: 'open',
              labels: ${{ env.GITHUB_ISSUE_LABELS }}
            });
            const issues = await github.paginate(opts)

            // Check if issue exist by comparing title and body
            for (const issue of issues) {
              if (issue.title.includes('${{ env.GITHUB_ISSUE_TITLE }}') &&
                  issue.body.includes('${{ matrix.dataset }}') &&
                  issue.body.includes('${{ matrix.config }}')) {
                  console.log(`Found an exist issue \#${issue.number}. Skip the following steps.`);
                  return 'true'
                }
            }
            return 'false'

      - name: Create GitHub Issue 📬
        id: create-issue
        if: failure() && steps.issue-exists.outputs.result == 'false' && github.event_name == 'schedule'
        uses: actions/github-script@d7906e4ad0b1822421a7e6a35d5ca353c962f410
        with:
          # do not use GITHUB_TOKEN here because it wouldn't trigger subsequent workflows
          github-token: ${{ secrets.RASABOT_GITHUB_TOKEN }}
          script: |
            var issue = await github.issues.create({
              owner: context.repo.owner,
              repo: context.repo.repo,
              title: '${{ env.GITHUB_ISSUE_TITLE }}',
              labels: ${{ env.GITHUB_ISSUE_LABELS }},
              body: '*This PR is automatically created by the Scheduled Model Regression Test workflow. Checkout the Github Action Run [here](https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}).* <br> --- <br> **Description of Problem:** <br> Scheduled Model Regression Test failed. <br> **Configuration**: `${{ matrix.config }}` <br> **Dataset**: `${{ matrix.dataset}}`'
            })
            return issue.data.number

      - name: Notify Slack of Failure 😱
        if: failure() && steps.issue-exists.outputs.result == 'false' && github.event_name == 'schedule'
        uses: 8398a7/action-slack@fbd6aa58ba854a740e11a35d0df80cb5d12101d8 # v3
        with:
          status: custom
          fields: workflow,job,commit,repo,ref,author,took
          custom_payload: |
            {
              attachments: [{
                fallback: 'fallback',
                color: '${{ job.status }}' === 'success' ? 'good' : '${{ job.status }}' === 'failure' ? 'danger' : 'warning',
                title: `${process.env.AS_WORKFLOW}`,
                text: 'Scheduled model regression test failed :no_entry:️',
                fields: [{
                  title: 'Configuration',
                  value: '${{ matrix.config }}',
                  short: false
                },
                {
                  title: 'Dataset',
                  value: '${{ matrix.dataset }}',
                  short: false
                },
                {
                  title: 'GitHub Issue',
                  value: `https://github.com/${{ github.repository }}/issues/${{ steps.create-issue.outputs.result }}`,
                  short: false
                },
                {
                  title: 'GitHub Action',
                  value: `https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}`,
                  short: false
                }],
                actions: [{
                }]
              }]
            }
        env:
          SLACK_WEBHOOK_URL: ${{ secrets.SLACK_CI_MODEL_REGRESSION_TEST }}

  combine_reports:
    name: Combine reports
    runs-on: ubuntu-24.04
    needs:
      - model_regression_test_gpu
    if: always() && needs.model_regression_test_gpu.result == 'success'
    steps:
      - name: Checkout git repository 🕝
        uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c

      - name: Set up Python 3.10 🐍
        uses: actions/setup-python@57ded4d7d5e986d7296eab16560982c6dd7c923b
        with:
          python-version: '3.10'

      - name: Get reports
        uses: actions/download-artifact@9bc31d5ccc31df68ecc42ccf4149144866c47d8a
        with:
          path: reports/

      - name: Display structure of downloaded files
        continue-on-error: true
        run: ls -R
        working-directory: reports/

      - name: Merge all reports
        env:
          SUMMARY_FILE: "./report.json"
          REPORTS_DIR: "reports/"
        run: |
          python .github/scripts/mr_generate_summary.py
          cat $SUMMARY_FILE

      - name: Upload an artifact with the overall report
        uses: actions/upload-artifact@0b7f8abb1508181956e8e162db84b466c27e18ce
        with:
          name: report.json
          path: ./report.json

  analyse_performance:
    name: Analyse Performance
    runs-on: ubuntu-24.04
    if: always() && github.event_name == 'schedule'
    needs:
      - model_regression_test_gpu
      - combine_reports
    env:
      GITHUB_ISSUE_TITLE: "Scheduled Model Regression Test Performance Drops"

    steps:
      - name: Checkout
        uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c

      - name: Download report from last on-schedule regression test
        run: |
          # Get ID of last on-schedule workflow
          SCHEDULE_ID=$(curl -X GET -s -H 'Authorization: token ${{ secrets.GITHUB_TOKEN }}' -H "Accept: application/vnd.github.v3+json" \
            "https://api.github.com/repos/${{ github.repository }}/actions/workflows" \
            | jq -r '.workflows[] | select(.name == "${{ github.workflow }}") | select(.path | test("schedule")) | .id')

          ARTIFACT_URL=$(curl -s -H 'Authorization: token ${{ secrets.GITHUB_TOKEN }}' -H "Accept: application/vnd.github.v3+json" \
            "https://api.github.com/repos/${{ github.repository }}/actions/workflows/${SCHEDULE_ID}/runs?event=schedule&status=completed&branch=main&per_page=1" | jq -r .workflow_runs[0].artifacts_url)

          DOWNLOAD_URL=$(curl -s -H 'Authorization: token ${{ secrets.GITHUB_TOKEN }}' -H "Accept: application/vnd.github.v3+json" "${ARTIFACT_URL}" \
            | jq -r '.artifacts[] | select(.name == "report.json") | .archive_download_url')

          # Download the artifact
          curl -H 'Authorization: token ${{ secrets.GITHUB_TOKEN }}' -LJO -H "Accept: application/vnd.github.v3+json" $DOWNLOAD_URL

          # Unzip and change name
          unzip report.json.zip && mv report.json report_main.json

      - name: Download the report
        uses: actions/download-artifact@9bc31d5ccc31df68ecc42ccf4149144866c47d8a
        with:
          name: report.json

      - name: Download gomplate
        run: |-
          sudo curl -o /usr/local/bin/gomplate -sSL https://github.com/hairyhenderson/gomplate/releases/download/v3.9.0/gomplate_linux-amd64
          sudo chmod +x /usr/local/bin/gomplate

      - name: Analyse Performance 🔍
        id: performance
        run: |
          OUTPUT="$(gomplate -d data=report.json -d results_main=report_main.json -f .github/templates/model_regression_test_results.tmpl)"
          OUTPUT="${OUTPUT//$'\n'/'%0A'}"
          OUTPUT="${OUTPUT//$'\r'/'%0D'}"
          OUTPUT="$(echo $OUTPUT | sed 's|`|\\`|g')"
          echo "report_description=${OUTPUT}" >> $GITHUB_OUTPUT

          IS_DROPPED=false

          # Loop through all negative values within parentheses
          # Set IS_DROPPED to true if there is any value lower
          # than the threshold
          for x in $(grep -o '\(-[0-9.]\+\)' <<< $OUTPUT); do
            if (( $(bc -l <<< "${{ env.PERFORMANCE_DROP_THRESHOLD }} > $x") )); then
              IS_DROPPED=true
              echo "The decrease of some test performance is > ${{ env.PERFORMANCE_DROP_THRESHOLD }}. Executing the following steps..."
              break
            fi
          done

          echo "is_dropped=$IS_DROPPED" >> $GITHUB_OUTPUT

      - name: Check duplicate issue
        if: steps.performance.outputs.is_dropped == 'true'
        uses: actions/github-script@d7906e4ad0b1822421a7e6a35d5ca353c962f410
        id: issue-exists
        with:
          result-encoding: string
          github-token: ${{ github.token }}
          script: |
            // Get all open issues based on labels
            const opts = await github.issues.listForRepo.endpoint.merge({
              owner: context.repo.owner,
              repo: context.repo.repo,
              state: 'open',
              labels: ${{ env.GITHUB_ISSUE_LABELS }}
            });
            const issues = await github.paginate(opts)

            // Check if issue exist by comparing title
            for (const issue of issues) {
              if (issue.title.includes('${{ env.GITHUB_ISSUE_TITLE }}') ) {
                  console.log(`Found an exist issue \#${issue.number}. Skip the following steps.`);
                  return 'true'
                }
            }
            return 'false'

      - name: Create GitHub Issue 📬
        id: create-issue
        if: steps.performance.outputs.is_dropped == 'true' && steps.issue-exists.outputs.result == 'false'
        uses: actions/github-script@d7906e4ad0b1822421a7e6a35d5ca353c962f410
        with:
          # do not use GITHUB_TOKEN here because it wouldn't trigger subsequent workflows
          github-token: ${{ secrets.RASABOT_GITHUB_TOKEN }}
          script: |
            // Prepare issue body
            let issue_body = '*This PR is automatically created by the Scheduled Model Regression Test workflow. Checkout the Github Action Run [here](https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}).* <br> --- <br> **Description of Problem:** <br>  Some test performance scores **decreased**. Please look at the following table for more details. <br>'
            issue_body += `${{ steps.performance.outputs.report_description }}`

            // Open issue
            var issue = await github.issues.create({
              owner: context.repo.owner,
              repo: context.repo.repo,
              title: '${{ env.GITHUB_ISSUE_TITLE }}',
              labels: ${{ env.GITHUB_ISSUE_LABELS }},
              body: issue_body
            })
            return issue.data.number

      - name: Notify Slack when Performance Drops 💬
        if: steps.performance.outputs.is_dropped == 'true' && steps.issue-exists.outputs.result == 'false'
        uses: 8398a7/action-slack@fbd6aa58ba854a740e11a35d0df80cb5d12101d8 #v3
        with:
          status: custom
          fields: workflow,job,commit,repo,ref,author,took
          custom_payload: |
            {
              attachments: [{
                fallback: 'fallback',
                color: 'danger',
                title: `${process.env.AS_WORKFLOW}`,
                text: 'Scheduled model regression test performance drops :chart_with_downwards_trend:',
                fields: [{
                  title: 'GitHub Issue',
                  value: `https://github.com/${{ github.repository }}/issues/${{ steps.create-issue.outputs.result }}`,
                  short: false
                },
                {
                  title: 'GitHub Action',
                  value: `https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}`,
                  short: false
                }],
                actions: [{
                }]
              }]
            }
        env:
          SLACK_WEBHOOK_URL: ${{ secrets.SLACK_CI_MODEL_REGRESSION_TEST }}

  remove_runner_gpu:
    name: Delete Github Runner - GPU
    if: always()
    needs:
      - deploy_runner_gpu
      - model_regression_test_gpu
    runs-on: ubuntu-24.04

    steps:

      - name: Setup Python
        id: python
        uses: actions/setup-python@57ded4d7d5e986d7296eab16560982c6dd7c923b
        with:
          python-version: '3.8' 

      - name: Export CLOUDSDK_PYTHON env variable
        run: |
          echo "CLOUDSDK_PYTHON=${{ steps.python.outputs.python-path }}" >> $GITHUB_OUTPUT
          export CLOUDSDK_PYTHON=${{ steps.python.outputs.python-path }}

      # Setup gcloud auth
      - uses: google-github-actions/auth@e8df18b60c5dd38ba618c121b779307266153fbf
        with:
          service_account: ${{ secrets.GKE_RASA_CI_GPU_SA_NAME_RASA_CI_CD }}
          credentials_json: ${{ secrets.GKE_SA_RASA_CI_CD_GPU_RASA_CI_CD }}

      # Get the GKE credentials for the cluster
      - name: Get GKE Cluster Credentials
        uses: google-github-actions/get-gke-credentials@894c221960ab1bc16a69902f29f090638cca753f
        with:
          cluster_name: ${{ secrets.GKE_GPU_CLUSTER_RASA_CI_CD }}
          location: ${{ env.GKE_ZONE }}
          project_id: ${{ secrets.GKE_SA_RASA_CI_GPU_PROJECT_RASA_CI_CD }}

      - name: Remove Github Runner
        run: kubectl -n github-runner delete deployments github-runner-${GITHUB_RUN_ID} --grace-period=30